<p>**Abstract:** This paper introduces Causal Contrastive Learning (CCL), a novel framework for generating more robust and interpretable counterfactual explanat...
freederia.com·19h
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Only 9% of developers think AI code can be used without human oversight, BairesDev survey reveals
venturebeat.com·15h
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Building an AI-Powered MetaTrader 5 Trading Assistant with Python and Flask
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LandSegmenter: Towards a Flexible Foundation Model for Land Use and Land Cover Mapping
arxiv.org·6h
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Investigating CoT Monitorability in Large Reasoning Models
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CAE: Character-Level Autoencoder for Non-Semantic Relational Data Grouping
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REACT-LLM: A Benchmark for Evaluating LLM Integration with Causal Features in Clinical Prognostic Tasks
arxiv.org·1d
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I'm Going All-In on AI for Developers.
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One Model for All: Universal Pre-training for EEG based Emotion Recognition across Heterogeneous Datasets and Paradigms
arxiv.org·6h
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🧵 Making Proactive Agents with Code Generation
threadreaderapp.com·14h
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EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph
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How AI Fails: An Interactive Pedagogical Tool for Demonstrating Dialectal Bias in Automated Toxicity Models
arxiv.org·1d
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Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem
arxiv.org·1d
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